Caroline K. Hatton
- Endocrinology, Diabetes and Metabolism top 1%
- Plant Science top 5%
- Cell Biology top 5%
- Animal Science and Zoology top 2%
- Food Science top 2%
- Co-authors
- Rudolf SchmidJ. BrunetonDon H. CatlinBorislav StarcevicRodrigo AguileraMichel BecchiBrian AhrensYu‐Chen Chang
- Topics
- Hormonal and reproductive studies (17 papers)Muscle metabolism and nutrition (14 papers)Pharmacological Effects and Assays (8 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Caroline K. Hatton
21 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Endocrinology, Diabetes and Metabolism 858
- Plant Science 409
- Cell Biology 398
- Animal Science and Zoology 339
- Food Science 338
Countries citing papers authored by Caroline K. Hatton
This map shows the geographic impact of Caroline K. Hatton's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Caroline K. Hatton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline K. Hatton more than expected).
Fields of papers citing papers by Caroline K. Hatton
This network shows the impact of papers produced by Caroline K. Hatton. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Caroline K. Hatton. The network helps show where Caroline K. Hatton may publish in the future.
Co-authorship network of co-authors of Caroline K. Hatton
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline K. Hatton. A scholar is included among the top collaborators of Caroline K. Hatton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caroline K. Hatton. Caroline K. Hatton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Assessing Professional Teaching Standards in Practicum Using Digital Technologies with Aboriginal and Other Pre-service Teachers | 1 |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 194 | |
| 7 | 23 | |
| 8 | 54 | |
| 9 | 78 | |
| 10 | 81 | |
| 11 | 76 | |
| 12 | 19 | |
| 13 | Issues in detecting abuse of xenobiotic anabolic steroids and testosterone by analysis of athletes' urine. | 85 |
| 14 | 54 | |
| 15 | 26 | |
| 16 | 125 | |
| 17 | Pharmacognosy, Phytochemistry, Medicinal Plantsbreakdown → | 726 |
| 18 | Use and abuse of anabolic and other drugs for athletic enhancement. | 32 |
| 19 | 30 | |
| 20 | 98 |
About Caroline K. Hatton
Caroline K. Hatton is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Animal Science and Zoology, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (17 papers), Muscle metabolism and nutrition (14 papers) and Pharmacological Effects and Assays (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (858 citations), Animal Science and Zoology (339 citations) and Cell Biology (398 citations). Caroline K. Hatton has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Rudolf Schmid, J. Bruneton, Don H. Catlin, Borislav Starcevic, Rodrigo Aguilera, Michel Becchi, Brian Ahrens, Yu‐Chen Chang, Hervé Casabianca and R. Craig Kammerer. Their work appears in journals such as Clinical Chemistry, Taxon and Rapid Communications in Mass Spectrometry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.